Evidence-based decision support for pediatric rheumatology reduces diagnostic errors
نویسندگان
چکیده
منابع مشابه
Evidence-based decision support for pediatric rheumatology reduces diagnostic errors
BACKGROUND The number of trained specialists world-wide is insufficient to serve all children with pediatric rheumatologic disorders, even in the countries with robust medical resources. We evaluated the potential of diagnostic decision support software (DDSS) to alleviate this shortage by assessing the ability of such software to improve the diagnostic accuracy of non-specialists. METHODS Us...
متن کاملInternet-based decision support for evidence-based medicine
The Protocol Assistant is a knowledge-based system, developed by the Department of Artificial Intelligence and AIAI at the University of Edinburgh, which advises on the treatment of parotid tumours. It has been developed to support both adherence to a clinical protocol based on the latest evidence and the use of clinical judgment where the evidence is weak or inconsistent. It was developed usin...
متن کاملPediatric rheumatology
Objective Examining for gastrointestinal involvement in juvenile idiopathic arthritis is an important part of diagnostic and therapeutic procedures. Only few scientific data are available.
متن کاملComparing Diagnostic Decision Support Systems for Pneumonia
OBJECTIVE we set the threshold to achieve a sensitivity of 95% To compare a Bayesian network (BN) and an and then calculated the specificity, the positive artificial neural network (ANN) in diagnosing predictive value (PPV), and the negative predictive community-acquired pneumonia. value (NPV). Over the range of all thresholds, we also plotted sensitivity against 1 specificity to get BACKGROUND...
متن کاملIdentifying diagnostic errors with induced decision trees.
OBJECTIVE The purpose of this article is to compare the diagnostic accuracy of induced decision trees with that of pruned neural networks and to improve the accuracy and interpretation of breast cancer diagnosis from readings of thin-needle aspirate by identifying cases likely to be misclassified by induced decision rules. METHOD Using an online database consisting of 699 cases of suspected b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Pediatric Rheumatology
سال: 2016
ISSN: 1546-0096
DOI: 10.1186/s12969-016-0127-z